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. · Implement a Python-based workflows for automated execution of numerical simulations for parametric studies and design optimization. · Supervision of the development and manufacturing of physical
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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offers within the Stellarator Heating and Optimization division (E3) a position for a Postdoc (m/f/d) for pellet injector Job Code: gw25/016 Full time Limited to operate the pellet injector and improve its
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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tapes and investigating mechanical performance, environmental ageing, and material optimization for sustainable applications. Ideal candidates have a background in materials science, composites
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density files exist Validation, adaption, optimization of existing software written in C++ and Fortran Preparation and update of a user manual for the developed software Generation of global high resolution
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potential and to optimize the chassis for protein production. The generated data will enable you to address research questions such as: Which traits are key for robustness, and can they be identified early in
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Postdoctoral Researcher Position in Digitalization of Metal Additive Manufacturing and CO2 Impact...
unique opportunity to bridge cutting-edge digital manufacturing technologies with real-world industrial sustainability challenges. If you are passionate about advanced manufacturing, process optimization
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure